Data Manager / Data Scientist Resume Sample
Laura Anderson
638 Roscoe Summit,
Boston,
MA
+1 (555) 496 0981
Work Experience
Manager, Data Scientist
06/2017
-
PRESENT
Boston, MA
- Leads managers and who are responsible for work that needs to be performed and/or their direct reports
- Directs, supports and executes talent management developing bench strength for loss cost modeling teams from analysts to project managers to new managers
- Identifies skill gaps and devises training plans with managers to develop new talent in focus area
- Coaches, mentors and influences others to accomplish departmental goals
- Actively seeks to connect resources across departments to share expertise educating teams on initiatives, strategy and models
- Works to maintaining a friendly and collaborative work environment
- MS or PhD in Computer Science, Mathematics, Physics, Engineering, Statistics, Econometrics, Operations Research, or other applied quantitative field
Senior Manager, Data Scientist
07/2014
-
12/2016
Philadelphia, PA
- Working in Data Science, Predictive, and Advanced Analytics as an individual contributor
- Experience building scalable data science products (products that have data science as the core tenet of the software)
- Working with big data and big data tools such as Spark as well as traditional software like Python
- Outstanding written and verbal communication skills including the ability to communicate effectively to remote teams via video and telephone
- Attention to detail and ability to manage multiple workstreams at once
- Works effectively both independently and as a member of a cross functional team (data science, operations, product, engineering)
- Understand complex systems outside of traditional data science applications
Manager Data Scientist
09/2008
-
04/2014
Dallas, TX
- Solid experience with data analysis Python, or R
- Automate analytic tasks
- Experience with Hive, Spark, or Pig
- Develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques
- Work closely with cross functional teams to encourage best practices for experimental design and data analysis
- Develop and evolve applications of advanced analytics, predictive modeling, tools, data sources, talent and partners by incessantly bringing external best practices and trends into an existing team of data-savvy analysts
- Evangelize adoption of advanced analytics and pervasive data-driven thinking in Marriott culture
- Work effectively with stakeholders to understand ambiguous business problems, assess data needs, develop/maintain best suited models and help/strategize deploying them in production
Education
Lincoln Memorial University
2003 - 2008
Science's Degree in Mathematics
Professional Skills
- Exhibits advanced critical thinking skills, integrative skills and creativity to drive innovation
- Possesses solid leadership skills and is able to work successfully with a team that has diverse skills, knowledge, and educational backgrounds
- Strong coaching, training and motivational skills; ability to lead cross functional, multi-region project Teams
- Excellent communication skills including ability to create a compelling and faithful story based on research findings and methodology, for any audience level
- Strong understanding and application of statistical methods and skills: distributions, experimental design, variance analysis, A/B testing, and regression
- Excellent understanding, experience and demonstrated success in modern scientific research methods
- Exceptional attention to detail and strong organizational skills. (required)
How to write Data Manager / Data Scientist Resume
Data Manager / Data Scientist role is responsible for business, research, training, health, development, architecture, integration, database, auditing, security.
To write great resume for data manager / data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Manager / Data Scientist Resume
The section contact information is important in your data manager / data scientist resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Data Manager / Data Scientist Resume
The section work experience is an essential part of your data manager / data scientist resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data manager / data scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data manager / data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Manager / Data Scientist resume experience can include:
- Providing thought leadership on effective monitoring, evaluation, integration and visualization of data in the Identity Platform
- Working with internal stakeholders, build and maintain schedule of assessment priorities
- Strong Knowledge of analytical methods used in statistics or predictive modeling methods (regression modeling, clustering, pattern recognition..etc)
- Design data collection approaches that capture relevant user behavior to enhance both content and overall learning experience
- Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment
- Demonstrated ability to work on high impact problems in a collaborative environment
Education on a Data Manager / Data Scientist Resume
Make sure to make education a priority on your data manager / data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data manager / data scientist experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Data Manager / Data Scientist Resume
When listing skills on your data manager / data scientist resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical data manager / data scientist skills:
- Good presentation skill and client handling experience
- Strong team player, ability to collaborate with peers effectively
- Strong time management skills and schedule flexibility to accommodate project deadlines and deliverables. (required)
- Regularly interacting with and effectively communicating with data science, product management, and engineering across the Identity organization
- Advanced skills in Python and/or R, including relevant packages and statistical testing methodologies
- Experience on working on entire life cycle of model development. Excellent concept of predictive modeling
List of Typical Experience For a Data Manager / Data Scientist Resume
1
Experience For Manager, Data Scientist Resume
- Excellent SQL skills and demonstrate understanding in at least one programming language such as Java, C++ or C#
- Be a team leader with excellent communication and relationship building skills in order to work across both technical and business teams
- Excellent in Processing, cleansing, and verifying the integrity of data used for analysis
- Experience in managing and architecting a technical systems and software environment
- Strong working knowledge of advanced analytics tools (SAS, R or Python)
- Business Intelligence experience with building advanced dashboards
2
Experience For Senior Manager, Data Scientist Resume
- Validate product with users/user communities
- Working within cross-functional teams, help define tools and processes for curation of source data into the Cloud offering
- Understanding of statistical and/or machine learning model algorithms
- Conducting ad hoc analyses for the business as-needed and clearly communicating results to non-technical people
- Summarizing data and results in tables and graphs using Excel and Tableau,
- Collaborating with national (NY, CA, CO) and global team (Israel) on research and technical implementation projects
- Doing short term analysis projects for variety of business problem
- Working knowledge in common data visualization and BI tools (Tableau, Wave)
- Create a Pricing Elasticity Model based on value drivers and pricing segmentation that can be used in the Internal Pricing system
3
Experience For Data Scientist Snr Manager Resume
- Learn the existing monthly process for downloading data from multiple sources
- Fluency in using scientific computing tools like R, pandas/numpy/scipy or an equivalent
- Develop machine learning pipelines to drive low-latency insights and decision making
- Filter, map and reduce large amounts of data using distributed computing
- Where appropriate, developing Excel models to facilitate decision-making related to the margin product
4
Experience For Manager Data Scientist Resume
- Where appropriate, developing statistical or machine learning analysis in Python or R
- Machine Learning - Regression, Clustering, Decision Trees, K-Means, Neural nets, Naive
- Understand current and develop new IT tools to automate the monthly processing of data
- Deep understanding of statistics and probability
- Become a thought leader to improve legacy thinking and process to continually push the boundaries of our identity capabilities through product ideation
- Be primary evangelist and advocate internally for strategic importance of ongoing product evaluation efforts
- Initiate, scope, manage, and execute projects designed to evaluate and assess quality of ODC DS customer-facing products
5
Experience For Senior Manager Data Scientist Resume
- Brainstorm, ideate, innovate evaluate methods for products needing assessment
- Build and manage remediation plans for underperforming products
- Develop machine learning models to segment customer data
- Prepare data for machine learning algorithms
- Contribute to the team’s growth through proactive business development and networking
- Certification in at least one of the following data visualization tools: Tableau, Qlikview or Spotfire
- Develop several views and Insights of the final data
- Responsible for developing new organizational capabilities aimed at proactively monitoring the external environment, using this information to assess implications and strategic options for our business, and recommending appropriate competitive and commercial strategies
6
Experience For Data Scientist / Technical Product Manager Resume
- Strategically evaluates market and competitive data to extract key trends and identify emerging business opportunities or risks. Combines this information with CHEP specific business knowledge, and develops actionable business insights to support strategic Sales growth and customer retention
- Effectively coordinates, captures, synthesizes and analyses customer, industry and competitive insights from various channels including team generated research, field resources, customer interactions and data, and supply chain intelligence
- Defines and manages a process for Customer At-Risk Analysis and Win-back strategy. Works with Sales, Finance, and Senior Leadership to ensure a proactive approach to protecting and growing customer base
- Identify suitable test cases to prove the algorithms’ ability to handle boundary conditions
- Evaluate analytic vendors for expertise and capability. Ensure that vendors’ work falls within the guidelines established for analytics within VMware
- Strong collaborative skills including ability to clarify business problems, understand alternate points of view and contribute to cross-functional problem resolution
- Experience with modern data mining techniques and technologies, e.g. probabilistic models, machine learning, Natural Language Processing, model design in general, visualization
7
Experience For Senior Data Scientist & Team Manager Resume
- Exceptional ability and desire to solve problems pragmatically, quickly learn new concepts and methodologies as needed
- Familiarity with the mathematical and numerical issues in algorithm development
- Evidence of ability to effectively manage technical groups in complex social environments (including distributed and matrixed teams) within rapidly evolving business environments
- Builds & evolves an auto pricing vision and strategy of using machine learning/predictive modeling, optimization and data
- Builds alignment for an auto pricing vision and strategy of using machine learning/predictive modeling, optimization and data with Line Management, Analytics and other business partners, fostering relationships and engaging resources across departments
- Advances machine learning/predictive modeling, optimization development within the department
- Lead, guide, coach, and support team members in driving a data science culture and expanding analytic capabilities
- Leads efforts for continuous improvements with data, tools, methodology and processes
8
Experience For Manager IT Data Scientist Resume
- Serves as subject matter expert and consultant on product related issues inside and outside the department
- Persuade, influence, and execute innovative methods and processes within a highly matrix organization
- Design, implement and support a data warehouse platform for Oracle’s cloud business
- Experience as a Data Scientist or experience as a technical product manager working very closely with Data Scientist on big data, database management, and Enterprise software products
- Researching products that might be 3+ months away from production
9
Experience For Assistant Manager IT Data Scientist Resume
- Comfort working in Linux environments, managing code through the command line, installing software, fixing minor operating system errors and issues
- Interfaces with business functions and IT to design, develop, test and implement models and other analytics solutions using existing and emerging technology platforms
- Develops understanding of business processes and relevant data to convert specifications about business problems into analytics hypotheses
- Conducts analysis of organizational needs and goals for the development and implementation of analytical models/insights
- Cultivates data science talent to match the current and future needs of Metlife
10
Experience For Manager Data Scientist Assurance Analytics Competence Center Resume
- Deep understanding of data science methods and practice: formulating hypotheses, acquiring and manipulating data, building and validating models, implementing solutions, measuring impact
- >1 year of experience in teaching, management, or leadership in a technical field
- Develop predictive models using machine learning, natural language, and statistical analysis methods such as classification, time-series analysis, regression, statistical inference, and validation tools; perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns
- Work directly with KPMG clients and stakeholders to present and explain the key techniques and major results generated using non-technical language; understand client feedback and be able to accommodate it into model through programming
- Experience in software development, ideally as part of a team using version control systems such as Git or SVN
List of Typical Skills For a Data Manager / Data Scientist Resume
1
Skills For Manager, Data Scientist Resume
- Strong management communication skills and proficiency in cross-functional collaboration across all stages of the product and service life cycle
- Proficiency in MS Excel, including the ability to write complex formulas and visualize data effectively. (required)
- Effectively and comfortably interface with executive levels
- Patience and planning skills to work toward a data management and visualization practice
- Strong experience with machine learning APIs, and computational packages (TensorFlow, Theano, Keras, Scikit Learn, Numpy, Pandas)
- Talk to and engage clients in business development and willingness to learn new business development skills
2
Skills For Senior Manager, Data Scientist Resume
- Working experience with programming languages like R, Python and advanced visualization platforms such as Tableau
- Experience in data ingestion, data cleaning, prototyping, bringing prototypes to production, product design, setting up and managing data infrastructure
- Professional experience developing and applying Machine Learning and Statistical algorithms
- Provide business-minded analytics and modeling support, both working well with data and demonstrating strong business acumen
- Experience in building and presenting data driven insights through business intelligence tools such as Spotfire and/or Tableau
- Excellent communication, relationship building, stakeholder management and influencing abilities
- Strong strategic thinking and reasoning abilities
- Extensive experience solving analytical problems using quantitative and qualitative approaches
3
Skills For Data Scientist Snr Manager Resume
- Experience in working with large sets of data and leading analytics projects
- Up to 3 years of technical training and experience in database technology, analysis, and reporting. (required)
- Excellent understanding of machine learning techniques and algorithms, such as Logistic Regression, Random Forests, k-NN, Naive Bayes etc
- Experience with neural network modeling using TensorFlow
- Help the product team by introducing and helping to test and validate ideas around proposed product features
- Demonstrated ability to query and derive meaning from large data sets in relational databases such as SQL Server, Teradata, Oracle or other
4
Skills For Manager Data Scientist Resume
- Strong empathy for customers of the Cloud of Collaborative Cancer Research Treatment, including cancer patients, researchers, oncologists, and drug developers
- Experience in statistical analysis and deploying the results of the analysis
- Experience in data collection and data mining
- Experience in open source programming languages for large scale data analysis
- Experience with machine learning
- Experience working with AWS
5
Skills For Senior Manager Data Scientist Resume
- Experience teaching technical topics
- Experience working with AWS, Azure, Google Cloud, or similar solution
- Experience with machine learning
- Experience with machine learning and data visualization
- Solid general technical / analytical capabilities, including the ability to learn new software quickly. (required)
6
Skills For Data Scientist / Technical Product Manager Resume
- Demonstrated capability in building scalable analytical solutions is required
- Strong working knowledge of the commercial insights associated with the product and brand lifecycle is required
- Academic or practical experience working with data at scale
- Experience with production machine learning pipelines
- Experience with classifiers, regression, support vector machines, decision trees, ensemble learning, and dimensionality reduction techniques
- Partner with the hardware team to validate inputs and test performance of developing algorithms
7
Skills For Senior Data Scientist & Team Manager Resume
- Professional experience working with both customer and research data sets
- Past experience converting scientific or data algorithms to higher performance languages like Scala and C/C++
- Experience with Spark and a base level understanding of RDDs and Dataframes is valuable
- Experience with one or more high level programming languages (Python, Scala)
- Strong proficiency in SQL, SAS, Access and Teradata
- Demonstrated ability to organize and create databases
- Commercial or business development experience
- A demonstrated ability to deliver results in support of key business objectives and stakeholder needs
8
Skills For Manager IT Data Scientist Resume
- Experience in optimization techniques and approaches, with real world application to business problems
- Partner with cross-functional team members to identify and prioritize actionable, high-impact
- Experience with relational databases
- Experience in Python, Scala, or R for large scale data analysis
- Experience with SQL
9
Skills For Assistant Manager IT Data Scientist Resume
- Experience with relational databases
- Experience in Python, Scala, or R for large scale analysis
- Expert level experience in the Big Data landscape and in analytical technology trends
- Prioritize work and respond to overlapping project needs. (required)
- Experience in deep learning: RNN/LSTM, CNN implementation within Python and similar tools
- Strong analytical, creative, problem-solving approach
- Experience with common data science toolkits, such as R, Python. Excellence in at least one of these tool is highly desirable
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase is preferable
10
Skills For Manager Data Scientist Assurance Analytics Competence Center Resume
- Excellent understanding of machine learning techniques, image processing and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests and Waterfalls
- Experience with big data paradigms (map-reduce, lazy-evaluation, in-memory storage, immutability, etc)
- Experience with SQL,Python,TensorFlow, within production data pipelines (required)
- Demonstrated proficiency in SQL, SAS, Matlab, or R
- Experience with Apache Flink
- Build strong relationships with product partners and other key internal and external partners
- Identifying and defining opportunities for personalization, AB testing, recommendation engines and automated user-pathing
List of Typical Responsibilities For a Data Manager / Data Scientist Resume
1
Responsibilities For Manager, Data Scientist Resume
- Experience as a people manager/team lead/mentor and/or first level supervisor is required
- Managing a team of data scientists focused on designing, developing and programming methods for Identity resolution using disparate big data sets
- Presenting, visualizing and depicting the deductions and rationale of their findings in clear, easy-to-understand and engaging ways
- Understanding of marketing channels including digital media, social media, offline media, CRM and trade media
- Auditing existing data systems in order to identify gaps in coverage against known business requirements
- Identifying what data is available and relevant to Diageo, including 1st and 3rd party data sources
- Interviewing agency and partner stakeholders and formulating clear and concise user and product-level requirements
2
Responsibilities For Senior Manager, Data Scientist Resume
- Making strategic recommendations on data collection and integration
- Evaluating technologies and vendors to determine fit between their offerings and Diageo requirements
- Educating others at Diageo on best practices and new approaches in data science
- Developing comprehensive workflows and metadata to automate compilation of data from multiple sources and serve data to maps, reports and other tools
- Teaching classes or holding office hours in support of others’ learning
- Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
- Writing software to clean and investigate large, messy data sets of numerical and textual data
3
Responsibilities For Data Scientist Snr Manager Resume
- Modern analytic technologies including big data, analytic appliances, realtime systems and GPU computing
- Comfortable writing code in Python to prove algorithms
- Metric tracking and insight generation for trends in major performance indicators
- End-to-end analytic solutioning exposure and responsibilities
- Come up with innovative, repeatable, business use cases for real world optimization techniques, and quickly develop prototypes to test these use cases
- Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Tableau, and more
- Experience utilizing a strong mathematical background with advanced knowledge in one or more of the following fields: discrete optimization, integer programming (including commercial optimization solvers), discrete-event simulation, dynamic programming, local search heuristics, genetic algorithms, or other metaheuristics
- Work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to present and explain technical concepts to business audiences
4
Responsibilities For Manager Data Scientist Resume
- Travel 20-50% with the possibility of up to 80%
- Partner with engineers to develop scalable and automated analytics and data science solutions
- Leverage your resources to construct and analyze disparate data sets for key insights and product recommendations
- Be hands-on as-needed to facilitate project completion
- Create processes to calibrate any external data with internal metrics and truth sets
- Drive alignment between internal stakeholders (Data Science, Product, Verticals, and GTM) on assessment priorities, criteria, methods, approaches, and implications of outcomes
- In leadership/management of data science/analytic team
5
Responsibilities For Senior Manager Data Scientist Resume
- Retrieve, process and prepare a rich data variety of data sources such as social media, news, internal/external documents, emails, financial data, and operational data
- Help drive client engagements focused on Big Data and advanced business analytics, in diverse domains such as risk management, product development, marketing research, supply chain, public policy; communicate results and educate others through reports and presentations
- Master’s, or PhD in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields from an accredited college or university
- Proficiency in analysis (e.g. R, SAS, Matlab) packages as well as proficiency in programming languages (e.g. Python, Ruby, Java, Scala)
- Help drive client engagements focused on big Data and advanced business analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations
- Maintaining project databases, including populating databases with new and old data, and developing queries to analyze data
6
Responsibilities For Data Scientist / Technical Product Manager Resume
- Generating graphs and tables using databases and spreadsheets
- Performing statistical analysis and preparing data for reports
- Understanding of Hadoop, Hive, Kafka & Cloud technologies
- Designing and developing relational database applications using desktop (MS Access) and enterprise (MS SQL Server/MySQL) database software to compile, verify, analyze, and report large and diverse datasets
- Working closely with other staff, project managers and seniors to develop components of project documents (e.g., tables) and perform data processing and analysis, and contribution to proposal development and report preparation
- Engaging in client management and development of new business in environmental or engineering information management and data visualization for environmental engineering, and geoscience projects
- Experience in data processing, features, building and optimizing classifiers using machine learning techniques
7
Responsibilities For Senior Data Scientist & Team Manager Resume
- Extensive exposure with Data mining using multiple analytical tools
- Have subject matter export knowledge of few line of business like banking and insurance
- Develop data science tools to model customer behavior
- Develop statistical models to identify underserved customers
- Procure, discover and visualize data to drive insights
- Lead and guide complete project for start to end. Suggest, collect and synthesize requirements, prepare road map to implement new projects. Managing all the stake holders of projects as independent level
- Able to handle data from variety of sources like JSON, database, csv etc. Develop codes to automatically process the data for production environment
- Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences
- Work with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)
8
Responsibilities For Manager IT Data Scientist Resume
- Utilize a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search
- Plan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery
- Work with natural language processing topic models to assist with analysis of incoming and outgoing communication and social media
- Refactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals
- Understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Knowledge of development practices (testing, code design, complexity, and code optimization)
- Work experience in a similar field
- Knowledge of Python, SQL and Apache Spark
9
Responsibilities For Assistant Manager IT Data Scientist Resume
- Expert level experience in statistical modeling and machine learning including: Neutral Networks and Deep Learning, Bayesian Statistics, Logistic Regression, Linear Regression, CHAID and decision trees
- Understanding of data quality control concepts. (required)
- Proficiency in MS Access, including the ability to write complex queries and automate routine processes. (required)
- Work both independently and in a team environment to perform problem-solving and develop innovative database solutions to meet project needs. (required)
- Vision and desire to lead a data management and visualization practice in the environmental consulting industry
- Master in sciences, engineering or computer science
- M.S. required in relevant technical field such as Applied Mathematics, Computer Science, Engineering, Physics, or Economics
- Master’s in STEM or related discipline, e.g. statistics, operations research, computer science, mathematics and 7 years of relevant work experience in data analysis or related field (Data analyst or Scientist) is required, OR Ph.D. in STEM related field and 4 years of experience is required
10
Responsibilities For Manager Data Scientist Assurance Analytics Competence Center Resume
- Strong working knowledge of data mining algorithms including machine learning techniques such as feature engineering, decision trees, clustering, regression, neural networks, Bayesian models is required
- Demonstrated familiarity with large datasets (e.g. imaging data, patient electronic health record), and understanding of data analysis workflows is required; strong preference for experience with information integration across different sources
- Using Big Data tools (Hadoop, Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records, in order to find out what works and what doesn’t for which applications
- Creating or curating educational content to help your Capital One peers stay on top of the latest machine learning and artificial intelligence tools and techniques
- Support business partners and advocate the benefits of advanced analytic and machine learning, work collaboratively to define analytical solutions for priority business problems
- Experience as data scientist or equivalent to PhD
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